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ConversationAnalysisClient.AnalyzeConversation 方法

定义

[协议方法]分析输入对话话语。

  • 协议方法 允许显式创建请求并处理高级方案的响应。
public virtual Azure.Response AnalyzeConversation (Azure.Core.RequestContent content, Azure.RequestContext context = default);
abstract member AnalyzeConversation : Azure.Core.RequestContent * Azure.RequestContext -> Azure.Response
override this.AnalyzeConversation : Azure.Core.RequestContent * Azure.RequestContext -> Azure.Response
Public Overridable Function AnalyzeConversation (content As RequestContent, Optional context As RequestContext = Nothing) As Response

参数

content
RequestContent

要作为请求正文发送的内容。

context
RequestContext

请求上下文,它可以基于每个调用替代客户端管道的默认行为。

返回

从服务返回的响应。

例外

content 为 null。

服务返回了不成功状态代码。

示例

此示例演示如何使用所需的请求内容调用 AnalyzeConversation,以及如何分析结果。

var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new ConversationAnalysisClient(endpoint, credential);

var data = new {
    analysisInput = new {
        conversationItem = new {
            text = "<text>",
            id = "<id>",
            participantId = "<participantId>",
        },
    },
    parameters = new {
        projectName = "<projectName>",
        deploymentName = "<deploymentName>",
    },
    kind = "Conversation",
};

Response response = client.AnalyzeConversation(RequestContent.Create(data));

JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("kind").ToString());

此示例演示如何使用所有请求内容调用 AnalyzeConversation,以及如何分析结果。

var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new ConversationAnalysisClient(endpoint, credential);

var data = new {
    analysisInput = new {
        conversationItem = new {
            text = "<text>",
            id = "<id>",
            participantId = "<participantId>",
            language = "<language>",
            modality = "transcript",
            role = "agent",
        },
    },
    parameters = new {
        projectName = "<projectName>",
        deploymentName = "<deploymentName>",
        verbose = true,
        isLoggingEnabled = true,
        stringIndexType = "Utf16CodeUnit",
        directTarget = "<directTarget>",
        targetProjectParameters = new {
            key = new {
                query = "<query>",
                callingOptions = new {
                    verbose = true,
                    log = true,
                    show_all_intents = true,
                    timezoneOffset = 123.45f,
                    spellCheck = true,
                    bing_spell_check_subscription_key = "<bing-spell-check-subscription-key>",
                },
                targetProjectKind = "Luis",
                apiVersion = "<apiVersion>",
            },
        },
    },
    kind = "Conversation",
};

Response response = client.AnalyzeConversation(RequestContent.Create(data));

JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("kind").ToString());

注解

可以在服务 REST API 文档中找到其他信息: https://video2.skills-academy.com/rest/api/language/2023-04-01/conversation-analysis-runtime/analyze-conversation

适用于